Editing CommunityData:Exposure and Participation Processes
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We suggest that competition, mutualism, and eventual online community outcomes are the result of how individuals are exposed to communities and how they decide whether to participate. We build a series of agent-based simulations that act as a bridge between these levels of analysis and let us explore the implications of different theories of how people are exposed to and join groups. | We suggest that competition, mutualism, and eventual online community outcomes are the result of how individuals are exposed to communities and how they decide whether to participate. We build a series of agent-based simulations that act as a bridge between these levels of analysis and let us explore the implications of different theories of how people are exposed to and join groups. | ||
== Next steps ( | == Next steps (9 Jan) == | ||
* | * Remove references to participation rate (mostly in results and discussion) | ||
** | * Create new plots without participation rate but with reddit (and Wikia? Github? data) | ||
*** | ** Figure out how to scale the reddit data so that it fits on the histogram | ||
* | *** How to display power law and nearly normal distributions on the same plot? Maybe only put the reddit data in the final plots? | ||
** | * Review and edit front end | ||
** Change from "ecology" to "systems" | |||
** Do more to lead into our analysis | ** Do more to lead into our analysis | ||
*** Create hypotheses / propositions? | *** Create hypotheses / propositions? | ||
*** Explain what we are looking for (asymmetry plus superstar communities?) | *** Explain what we are looking for (asymmetry plus superstar communities?) | ||
** | ** Do more to define terms from the network literature | ||
* | ** Claim engagement w/network sci + sociology of cumulative advantage as contributions. | ||
* Realized that this data has startup costs = 0; run new simulations with positive startup costs and replace current visualizations? | |||
== Past Next steps == | == Past Next steps == |